BigDataFr recommends: Before you jump in make sure you are planning appropriately […] For a few years now Big Data has drawn the attention of many firms and CIOs. The rewards are major –new business insights, new customer segments, speed (faster time-to-answer, faster time-to-decision, and faster speed-to-market) to driving operational cost efficiencies and even corporate […]
Month: février 2016
[arXiv] BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT) […]Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current […]
[Datasciencecentral] BigDataFr recommends: Data Team for Data Driven Organization
BigDataFr recommends: Data Team for Data Driven Organization A data-driven organization will use the data as critical evidence to help inform and influence strategy. To be data-driven means cultivating a mindset throughout the business to continually use data and analytics to make fact-based business decisions. Becoming a data-driven organization is no longer a choice, but […]
[O’R] BigDataFr recommends: Insightful applications: The next inflection in big data
BigDataFr recommends: Insightful applications: The next inflection in big data […] In previous posts, I wrote about the need for insight generation and provided an example of an insightful application. I maintain that insightful applications are the key to businesses effectively exploiting big data in order to improve decision-making and address important problems. To better […]
[arXiv] BigDataFr recommends: Security and Privacy Issues of Big Data
BigDataFr recommande: Security and Privacy Issues of Big Data […]This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more […]
[Datasciencecentral] BigDatafr recommends: Introduction to data quality
BigDataFr recommends: Introduction to data quality How many times have you heard managers and colleagues complain about the quality of the data in a particular report, system or database? People often describe poor quality data as unreliable or not trustworthy. Defining exactly what high or low quality data is, why it is a certain quality […]
[Datasciencecentral] BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights!
BigDataFr recommends: BIG Data & Analytics, Data Science, Machine Learning – Random Insights! #1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – this is my definition of Big Data; not tera or peta bytes! […]